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Bayesian Approach

A Bayesian approach to modelling manual traffic counts

A Bayesian approach to modelling manual traffic counts

... In this research, we have looked into modelling of the frequency of traffic count passing through a particular road (Tombia - Amassoma Road) to the Niger Delta University, Bayelsa State of Nigeria using a Bayesian ...

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A Bayesian Approach for Sequence Tagging with Crowds

A Bayesian Approach for Sequence Tagging with Crowds

... a Bayesian method for aggregating sequence tags that reduces errors by modelling sequen- tial dependencies between the annotations as well as the ground-truth ...a Bayesian approach, we account for ...

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A Bayesian approach to assessing the risk of QT prolongation

A Bayesian approach to assessing the risk of QT prolongation

... good approach to analyzing a thorough QT study would be one that protects the interests of both the industry and the consumers, and is keeping in line with the ICH ...a Bayesian approach to obtaining ...

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Entrance fees and a Bayesian approach to the St. Petersburg Paradox

Entrance fees and a Bayesian approach to the St. Petersburg Paradox

... and Bayesian approach relies upon the way in which the parameter θ, ...frequentist approach, θ is a number on the interval ( 0, 1 ) , either known or ...the Bayesian approach, the ...

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A Parametric Bayesian Approach in Density Ratio Estimation

A Parametric Bayesian Approach in Density Ratio Estimation

... a Bayesian approach based on the Log–Huber loss function which is resistant to outliers and useful to find robust ...of Bayesian density ratio estimators and compare their performance in terms of ...

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A Bayesian Approach to Earthquake Source Studies

A Bayesian Approach to Earthquake Source Studies

... both Bayesian and traditional optimization methods is the model ...The Bayesian approach is just as sensitive to design errors; but it yields the complete solution for a given “model class,” as the ...

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A predictive Bayesian approach to risk analysis in health care

A predictive Bayesian approach to risk analysis in health care

... It may be responded that it is also possible to produce pre- dictive distributions in the traditional text-book Bayesian approach by taking the expectations of the p i s. Yes, that is true. However, such a ...

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Inferences on the Difference of Two Proportions: A Bayesian Approach

Inferences on the Difference of Two Proportions: A Bayesian Approach

... the Bayesian approach, Pham-Gia and Turkkan ([1] and [2]) have considered the case of independent, and dependent proportions for inferences, and also in the context of sample size determination ...

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CAS: Using a Bayesian Approach for Claims Reserving

CAS: Using a Bayesian Approach for Claims Reserving

... In other words this means that in practice a full analytical Bayesian formula is often not a realistic method. One way out of this dilemma is the credibility technique. Here the credibility solution is understood ...

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Confidence in Classification: A Bayesian Approach

Confidence in Classification: A Bayesian Approach

... standard Bayesian procedure so should be part of the general classification tool kit, especially in such areas as safety-critical ...fully Bayesian approach, all data would be used without holding any ...

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Evaluating Firms: A Bayesian Approach

Evaluating Firms: A Bayesian Approach

... The actual beta will not be known until December of 1998; however, a four-month update is valuable and easily done via the Bayesian approach. The market has continued to boom, already appreciating 15% since ...

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On Bayesian Approach to Grillage Optimization

On Bayesian Approach to Grillage Optimization

... (Bayesian Approach to coordinate global optimization) performance of which is controlled by the only parameter, and compare it with other well-known ...

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A Bayesian approach to modeling mortgage default and prepayment

A Bayesian approach to modeling mortgage default and prepayment

... semiparametric Bayesian proportional hazards competing risk models have been introduced by Gelfand and Mallick (1995) in survival ...the Bayesian viewpoint in the analysis and develop posterior and ...

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Risk Informed Validation Framework Using Bayesian Approach.

Risk Informed Validation Framework Using Bayesian Approach.

... a Bayesian approach is used to assess the credibility of system-level ...a Bayesian network model to represent the system-level failure against an external ...the Bayesian network model ...

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Bayesian Approach for Indonesia Inflation Forecasting

Bayesian Approach for Indonesia Inflation Forecasting

... a Bayesian approach to find the Bayesian model for the point forecast of ARMA model under normal-gamma prior assumption with quadratic loss function in the form of mathematical ...the Bayesian ...

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A Bayesian Approach to Absent Evidence Reasoning

A Bayesian Approach to Absent Evidence Reasoning

... Three caveats are in order. First, this Bayesian approach only tells us that the absence of evidence should increase our degree of be- lief—it doesn’t say by how much. 10 Second, it doesn’t tell us that all ...

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A Bayesian Approach for User Modeling in Dialogue Systems

A Bayesian Approach for User Modeling in Dialogue Systems

... A Bayesian Approach for User Modeling in Dialogue Systems A Bayesian Approach for User Modeling in Dialogue Systems A K I B A , T o m o y o s i a n d T A N A K A , H o z u l n i D e p a r t m e n t o[.] ...

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Analysis of COSIMA spectra: Bayesian approach

Analysis of COSIMA spectra: Bayesian approach

... 4.2 One weak line – analytic estimates, special case First, we make a simple example. We follow the Bayesian approach, but because of the simplicity of the problem, we need no simulations. We assume no ...

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A Bayesian Approach for Segmentation in Stereo Image Sequences

A Bayesian Approach for Segmentation in Stereo Image Sequences

... Stereoscopic image sequence processing has been the focus of considerable attention in recent literature for videoconference ap- plications. A novel Bayesian scheme is proposed in this paper, for the segmentation ...

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A Nonparametric Bayesian Approach to Acoustic Model Discovery

A Nonparametric Bayesian Approach to Acoustic Model Discovery

... We investigate the problem of acoustic mod- eling in which prior language-specific knowl- edge and transcribed data are unavailable. We present an unsupervised model that simultane- ously segments the speech, discovers a ...

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